ZodiAq:一种受鞭毛启发的各向同性软水下无人机,用于安全的海洋探索。

Anup Teejo Mathew, Daniel Feliu-Talegon, Yusuf Abdullahi Adamu, Ikhlas Ben Hmida, Costanza Armanini, Cesare Stefanini, Lakmal Seneviratne, Federico Renda
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引用次数: 0

摘要

机器人水下探测的固有挑战,如水动力效应、动态耦合的复杂性以及与海洋生物敏感交互的必要性,要求在海洋探测中采用软机器人方法。为了解决这个问题,我们提出了一种新的原型,ZodiAq,一种受原核细菌鞭毛启发的软水下无人机。ZodiAq独特的十二面体结构,配备了12个鞭毛状的手臂,确保了设计的冗余性和顺应性,非常适合在复杂的水下地形中航行。原型机的特点是一个基于树莓派的中央单元,连接到一个用于惯性、深度和视觉检测的传感系统,以及一个用于通信的声学调制解调器。结合已实现的控制律,使ZodiAq成为一个智能系统。本文详细介绍了ZodiAq的设计和制造过程,重点介绍了设计选择和原型功能。基于Cosserat棒的应变建模,我们在仿真工具箱中开发了原型的数字孪生,以简化分析和控制。为了优化其在动态水体条件下的运行,开发并实现了一种简化的基于模型的控制器,实现了在水动力环境下的智能自适应运动。大量的实验演示突出了无人机的潜力,展示了其设计冗余、具身智能、爬行步态以及在各种水下环境中的实际应用。该研究为水下软机器人领域的发展做出了重要贡献,为安全、高效、环保的水下探索提供了一条有前景的新途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ZodiAq: An Isotropic Flagella-Inspired Soft Underwater Drone for Safe Marine Exploration.

The inherent challenges of robotic underwater exploration, such as hydrodynamic effects, the complexity of dynamic coupling, and the necessity for sensitive interaction with marine life, call for the adoption of soft robotic approaches in marine exploration. To address this, we present a novel prototype, ZodiAq, a soft underwater drone inspired by prokaryotic bacterial flagella. ZodiAq's unique dodecahedral structure, equipped with 12 flagella-like arms, ensures design redundancy and compliance, ideal for navigating complex underwater terrains. The prototype features a central unit based on a Raspberry Pi, connected to a sensory system for inertial, depth, and vision detection, and an acoustic modem for communication. Combined with the implemented control law, it renders ZodiAq an intelligent system. This article details the design and fabrication process of ZodiAq, highlighting design choices and prototype capabilities. Based on the strain-based modeling of Cosserat rods, we have developed a digital twin of the prototype within a simulation toolbox to simplify analysis and control. To optimize its operation in dynamic aquatic conditions, a simplified model-based controller has been developed and implemented, facilitating intelligent and adaptive movement in the hydrodynamic environment. Extensive experimental demonstrations highlight the drone's potential, showcasing its design redundancy, embodied intelligence, crawling gait, and practical applications in diverse underwater settings. This research contributes significantly to the field of underwater soft robotics, offering a promising new avenue for safe, efficient, and environmentally conscious underwater exploration.

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